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eTuner: Tuning Schema Matching Software using Synthetic Scenarios

eTuner: Tuning Schema Matching Software using Synthetic Scenarios

eTuner: Tuning Schema Matching Software using Synthetic Scenarios. Mayssam Sayyadian, Yoonkyong Lee, AnHai Doan University of Illinois, USA Arnon Rosenthal MITRE Corp., USA. Main Points. Tuning matching systems: long standing problem

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217 views • 21 slides
A Classification of Schema-based Matching Approaches

A Classification of Schema-based Matching Approaches

A Classification of Schema-based Matching Approaches. Pavel Shvaiko. Meaning Coordination and Negotiation Workshop, ISWC 8 th November 2004, Hiroshima, Japan. Introduction Classification of schema-based matching approaches Matching systems Conclusions Future work. Outline.

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504 views • 20 slides
A Classification of Schema-based Matching Approaches

A Classification of Schema-based Matching Approaches

A Classification of Schema-based Matching Approaches. Pavel Shvaiko. Meaning Coordination and Negotiation Workshop, ISWC 8 th November 2004, Hiroshima, Japan. Introduction Classification of schema-based matching approaches Matching systems Conclusions Future work. Outline.

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206 views • 20 slides
An Adaptive Machine Learning Framework with User Interaction for Ontology Matching

An Adaptive Machine Learning Framework with User Interaction for Ontology Matching

An Adaptive Machine Learning Framework with User Interaction for Ontology Matching. Hoai-Viet To 1 , Ryutaro Ichise 2 , and Hoai-Bac Le 1 1 Ho Chi Minh University of Science, Vietnam 2 National Institute of Informatics, Japan. Ontology Matching (OM) Problem.

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258 views • 13 slides

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